This article explores how international tax laws and tariff shocks can together demotivate affiliates of a multinational enterprise (MNE) from pursuing operational excellence and continuous ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

CEBU, Philippines — To produce highly-skilled nurse educators to teach Nursing students in the region, Cebu Normal University (CNU) formally launched its first-ever Master in Nursing Education (MNE) ...

Abstract: The interplay of brain signals and the Internet of Things (IoT) is an emerging area. The processing of electroencephalographic (EEG) signals is mainly divided into two categories: (1) signal ...

First of all, I am an absolute noob w.r.t. python in general, and by consequence also w.r.t MNE-python, but I would like to take the opportunity to discuss something I came across while playing around ...

An important aim of an analysis pipeline for magnetoencephalographic data is that it allows for the researcher spending maximal effort on making the statistical comparisons that will answer the ...

raw = mne.io.read_raw_cnt(fls_path[-5],montage='standard_1020') /Users/Gacek/mne-python/mne/io/cnt/cnt.py:189: RuntimeWarning: overflow encountered in int_scalars ...